fix two sparsenn failures #2536
Workflow file for this run
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# Copyright (c) Meta Platforms, Inc. and affiliates. | |
# All rights reserved. | |
# This source code is licensed under the BSD-style license found in the | |
# LICENSE file in the root directory of this source tree. | |
# This workflow is used for FBGEMM_GPU-ROCm CI as well as nightly builds of | |
# FBGEMM_GPU-ROCm against PyTorch-ROCm Nightly. | |
name: FBGEMM_GPU-ROCm CI | |
on: | |
# PR Trigger (enabled for regression checks and debugging) | |
# | |
pull_request: | |
branches: | |
- main | |
# Push Trigger (enable to catch errors coming out of multiple merges) | |
# | |
push: | |
branches: | |
- main | |
# Cron Trigger (UTC) | |
# | |
# Based on the Conda page for PyTorch-nightly, the GPU nightly releases appear | |
# around 02:30 PST every day (roughly 2 hours after the CPU releases) | |
# | |
schedule: | |
- cron: '45 12 * * *' | |
# Manual Trigger | |
# | |
workflow_dispatch: | |
inputs: | |
publish_to_pypi: | |
description: Publish Artifact to PyPI | |
type: boolean | |
required: false | |
default: false | |
concurrency: | |
# Cancel previous runs in the PR if a new commit is pushed | |
group: ${{ github.workflow }}-${{ github.event.pull_request.number || github.ref }} | |
cancel-in-progress: true | |
jobs: | |
# Build on CPU hosts and upload to GHA | |
build_artifact: | |
runs-on: ${{ matrix.host-machine.instance }} | |
container: | |
image: ${{ matrix.container-image }} | |
options: --user root | |
defaults: | |
run: | |
shell: bash | |
env: | |
PRELUDE: .github/scripts/setup_env.bash | |
BUILD_ENV: build_binary | |
BUILD_VARIANT: rocm | |
strategy: | |
fail-fast: false | |
matrix: | |
host-machine: [ | |
{ arch: x86, instance: "linux.24xlarge" }, | |
] | |
container-image: [ "ubuntu:20.04" ] | |
python-version: [ "3.8", "3.9", "3.10", "3.11", "3.12" ] | |
rocm-version: [ "6.0.2" ] | |
compiler: [ "gcc", "clang" ] | |
steps: | |
- name: Setup Build Container | |
run: | | |
apt update -y | |
apt install -y binutils git pciutils sudo wget | |
git config --global --add safe.directory '*' | |
- name: Checkout the Repository | |
uses: actions/checkout@v4 | |
- name: Display System Info | |
run: . $PRELUDE; print_system_info | |
- name: Display GPU Info | |
run: . $PRELUDE; print_gpu_info | |
- name: Free Disk Space | |
run: . $PRELUDE; free_disk_space | |
- name: Setup Miniconda | |
run: . $PRELUDE; setup_miniconda $HOME/miniconda | |
- name: Create Conda Environment | |
run: . $PRELUDE; create_conda_environment $BUILD_ENV ${{ matrix.python-version }} | |
- name: Install C/C++ Compilers | |
run: . $PRELUDE; install_cxx_compiler $BUILD_ENV ${{ matrix.compiler }} | |
- name: Install Build Tools | |
run: . $PRELUDE; install_build_tools $BUILD_ENV | |
- name: Install ROCm | |
run: . $PRELUDE; install_rocm_ubuntu $BUILD_ENV ${{ matrix.rocm-version }} | |
- name: Install PyTorch-ROCm Nightly | |
run: . $PRELUDE; install_pytorch_pip $BUILD_ENV nightly rocm/${{ matrix.rocm-version }} | |
- name: Collect PyTorch Environment Info | |
if: ${{ success() || failure() }} | |
run: if . $PRELUDE && which conda; then collect_pytorch_env_info $BUILD_ENV; fi | |
- name: Prepare FBGEMM_GPU Build | |
run: . $PRELUDE; cd fbgemm_gpu; prepare_fbgemm_gpu_build $BUILD_ENV | |
- name: Build FBGEMM_GPU Wheel | |
run: . $PRELUDE; cd fbgemm_gpu; build_fbgemm_gpu_package $BUILD_ENV nightly rocm | |
- name: Upload Built Wheel as GHA Artifact | |
uses: actions/upload-artifact@v4 | |
with: | |
name: fbgemm_gpu_nightly_rocm_${{ matrix.host-machine.arch }}_${{ matrix.compiler }}_py${{ matrix.python-version }}_rocm${{ matrix.rocm-version }}.whl | |
path: fbgemm_gpu/dist/fbgemm_gpu_nightly_rocm-*.whl | |
# Download the built artifact from GHA, test on GPU, and push to PyPI | |
test_and_publish_artifact: | |
runs-on: ${{ matrix.host-machine.instance }} | |
container: | |
image: "rocm/dev-ubuntu-20.04:${{ matrix.rocm-version }}-complete" | |
options: --user root --device=/dev/kfd --device=/dev/dri --ipc=host --shm-size 16G --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined | |
defaults: | |
run: | |
shell: bash | |
env: | |
PRELUDE: .github/scripts/setup_env.bash | |
BUILD_ENV: build_binary | |
BUILD_VARIANT: rocm | |
ENFORCE_ROCM_DEVICE: 1 | |
strategy: | |
fail-fast: false | |
matrix: | |
host-machine: [ | |
{ arch: x86, instance: "rocm" }, | |
] | |
# ROCm machines are limited, so we only test a subset of Python versions | |
python-version: [ "3.12" ] | |
rocm-version: [ "6.0.2" ] | |
compiler: [ "gcc", "clang" ] | |
needs: build_artifact | |
steps: | |
- name: Setup Build Container | |
run: | | |
apt update -y | |
apt install -y git wget | |
git config --global --add safe.directory '*' | |
- name: Checkout the Repository | |
uses: actions/checkout@v3 | |
- name: Download Wheel Artifact from GHA | |
uses: actions/download-artifact@v4 | |
with: | |
name: fbgemm_gpu_nightly_rocm_${{ matrix.host-machine.arch }}_${{ matrix.compiler }}_py${{ matrix.python-version }}_rocm${{ matrix.rocm-version }}.whl | |
- name: Display System Info | |
run: . $PRELUDE; print_system_info | |
- name: Display GPU Info | |
run: . $PRELUDE; print_gpu_info | |
- name: Free Disk Space | |
run: . $PRELUDE; free_disk_space | |
- name: Setup Miniconda | |
run: . $PRELUDE; setup_miniconda $HOME/miniconda | |
- name: Create Conda Environment | |
run: . $PRELUDE; create_conda_environment $BUILD_ENV ${{ matrix.python-version }} | |
- name: Install PyTorch-ROCm Nightly | |
run: . $PRELUDE; install_pytorch_pip $BUILD_ENV nightly rocm/${{ matrix.rocm-version }} | |
- name: Collect PyTorch Environment Info | |
if: ${{ success() || failure() }} | |
run: if . $PRELUDE && which conda; then collect_pytorch_env_info $BUILD_ENV; fi | |
- name: Prepare FBGEMM_GPU Build | |
run: . $PRELUDE; cd fbgemm_gpu; prepare_fbgemm_gpu_build $BUILD_ENV | |
- name: Install FBGEMM_GPU Wheel | |
run: . $PRELUDE; install_fbgemm_gpu_wheel $BUILD_ENV *.whl | |
- name: Test with PyTest | |
timeout-minutes: 20 | |
run: . $PRELUDE; test_all_fbgemm_gpu_modules $BUILD_ENV rocm |